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Clustering Categorical Data: An Approach Based on ...
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由 D Gibson 著作被引用 630 次 — We have given a new method for clustering and mining ta- bles of categorical data, by representing them as non-linear dynamical systems. The two principal ...
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Clustering categorical data: an approach based on ...
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由 D Gibson 著作2000被引用 630 次 — We describe a novel approach for clustering collections of sets, and its application to the analysis and mining of categorical data.
Clustering categorical data: an approach based on ...
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由 D Gibson 著作2000被引用 630 次 — Abstract. We describe a novel approach for clustering col- lections of sets, and its application to the analysis and mining of categorical data.
Clustering Categorical Data
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由 Y Zhang 著作2000被引用 75 次 — In this paper we propose two methods to study the problem of clustering categorical data. The first method is based on dynamical system approach.
Clustering categorical data: an approach based on dynamical ...
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由 D Gibson 著作2000被引用 630 次 — We describe a novel approach for clustering collections of sets, and its application to the analysis and mining of categorical data. By “categorical data ...
(PDF) Clustering Categorical Data
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2024年11月21日 — The first method is based on dynamical system approach. The second method is based on the graph partitioning approach. View. Show abstract.
An Approach Based on Dynamical Systems
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由 D Gibson 著作被引用 630 次 — Clustering Categorical Data: An Approach Based on Dynamical Systems. David Gibson. Jon M. Kleinberg. Prabhakar Raghavan. VLDB (1998), pp. 311-322.
Clustering Categorical Data
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由 Y Zhang 著作2000被引用 75 次 — In this paper we propose two methods to study the problem of clustering categorical data. The first method is based on dynamical system approach. The second.
An approach based on dynamical systems for VLDB Journal
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由 D Gibson 著作2000被引用 630 次 — We describe a novel approach for clustering collections of sets, and its application to the analysis and mining of categorical data.
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An Approach Based on Dynamical Systems
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2023年8月16日 — Raymond T. Ng: Review - Clustering Categorical Data: An Approach Based on Dynamical Systems. ACM SIGMOD Digit. Rev. 1 (1999).
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